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Assessment and Future Directions of Nonlinear Model Predictive Control pp 399–406Cite as

Integration of Advanced Model Based Control with Industrial IT

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 358))

Abstract

Advanced model based control is a promising technology that can improve the productivity of industrial processes. In order to find its way into regular applications, advanced control must be integrated with the industrial control systems. Modern control systems, on the other hand, need to extend the reach of traditional automation systems—beyond control of the process—to also cover the increasing amount of information technology (IT) required to successfully operate industrial processes in today’s business markets. The Industrial IT System 800xA from ABB provides a scalable solution that spans and integrates loop, unit, area, plant, and interplant controls.

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References

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Author information

Authors and Affiliations

  1. ABB AG, Power Generation, Mannheim, Germany

    Rüdiger Franke

  2. ABB Corporate Research, Ladenburg, Germany

    Jens Doppelhamer

Authors
  1. Rüdiger Franke
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  2. Jens Doppelhamer
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Editor information

Editors and Affiliations

  1. Institute for Systems Theory and Automatic Control, University of Stuttgart, Pfaffenwaldring 9, 70550, Stuttgart, Germany

    Rolf Findeisen  & Frank Allgöwer  & 

  2. Chemical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Lorenz T. Biegler

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© 2007 Springer-Verlag Berlin Heidelberg

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Franke, R., Doppelhamer, J. (2007). Integration of Advanced Model Based Control with Industrial IT. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_32

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  • DOI: https://doi.org/10.1007/978-3-540-72699-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72698-2

  • Online ISBN: 978-3-540-72699-9

  • eBook Packages: EngineeringEngineering (R0)

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